search for: wet

Dear list, Is there anyway i can make the following formula short by r-programming? CYCLE.n<-c(NA, WET[1]*DRY[1], WET[1]*DRY[2]+WET[2]*DRY[1], WET[1]*DRY[3]+WET[2]*DRY[2]+WET[3]*DRY[1], WET[1]*DRY[4]+WET[2]*DRY[3]+WET[3]*DRY[2]+WET[4]*DRY[1], WET[1]*DRY[5]+WET[2]*DRY[4]+WET[3]*DRY[3]+WET[4]*DRY[2]+WET[5]*DRY[1], WET[1]*DRY[6]+WET[2]*DRY[5]+WET[3]*DRY[4]+WET[4]*DRY[3]+WET[5]*DRY[2]+WET[6]*DRY[1], WET...

Hello, I would be very grateful if someone could give me a hand with my split plot design problems. So here is my design : I am studying the crossed-effects of water (wet/dry) and mowing (mowed/not-mowed = nm) on plant height (PH) within 2 types of plant communities (Xerobromion and Mesobromion) : - Within each type of communities, I have localised 4 blocks - In each block, I have defined 4 plots in order to have the 4 possible treatments of both the water and...

...elt. Region Species Scenario HydroState HSI 1 Eastern Panhandle WBLong NSM Ave 0.165945170 2 Eastern Panhandle WBLong NSM Dry 0.056244263 3 Eastern Panhandle WBLong NSM Wet 0.290692607 4 Eastern Panhandle WBLong ECB Ave 0.165945170 5 Eastern Panhandle WBLong ECB Dry 0.056244263 6 Eastern Panhandle WBLong ECB Wet 0.290692607 7 Eastern Panhandle WBLong...

...show what I am trying to do: foo <- data.frame( Treatment=rnorm(1:12,2), Variant=c("A","A","B","C","D","C","B","D","D","B","B","A"), Szenario=c("Dry","Wet","Dry","Dry","Wet","Dry","Wet","Wet","Dry","Wet","Dry","Dry"), Area=c(sample(100, 12)) ) require(lattice) require(latticeExtra) bwplot(Treatment ~ Variant | Szenario,...

Hello, I am trying to make a correlation matrix in R using cor() and also to get the p-value for each correlation using cor.test(). I can't get these commands to work. I'm getting errors like the following: cor(Pollution, Wet.days) Error in inherits(x, "data.frame") : Object "Wet.days" not found cor("Pollution", "Wet.days") Error in cor("Pollution", "Wet.days") : missing observations in cov/cor In addition: Warning messages: 1: NAs introduced by coercion 2: NAs...

Dear R list, I have a sequence of weekly observations of number of adults and larvae in various size classes from a butterfly population living in a subtropical area with pronounced wet and dry seasons. Wet and dry seasons are each defined 26 weeks long with fixed start and end dates. The data span 103 weeks (two seasons each of wet and dry) with some missing weeks. What I would like to do is compare means of each type of observation between wet and dry seasons ("Does the n...

Hi all, I have a matrix simulating migration in a spatial model. I want to be able to define movement (the values of m1, m2 and m3) as only != 0 between adjacent patches and contingent on certain conditions as defined in the function. Here is the code: WET<-function(t) {everglades$precipitation[t]} #simply reads precipitation data from a csv, value is numeric AB<-function(WET,t) {ifelse(WET(t)>0, 0.0001, 0)} BC<-function(WET,t) {ifelse(WET(t)>0, 0.0001, 0)} NP<-4 m1 <- matrix(0, NP,NP) m2 <- matrix(0,NP,NP) m3 <-...

...o moderately sized sets of time series data. FYI - I'm using the following versions of R and supporting packages on a Windows 2000 OS: - R version 2.4.1 (2006-12-18) - zoo version 1.2-2 - chron version 2.3-10 The two time series I'm working with are from the summer of 2004 and are: 1.) wet.bulb.air.temp: air temperatures recorded on an hourly basis, and 2.) creek.temperature: surface water body temperatures collected every 12 minutes. I would ultimately like to observe the difference in temperatures and attempted to get at this by merging the two time series (by union), interpolati...

Hi, What's the best way to average dates? I though mean.POISXct would work fine but... > a [1] "2007-04-02 19:22:00 WEST" > b [1] "2007-03-17 16:23:00 WET" > class(a) [1] "POSIXt" "POSIXct" > class(b) [1] "POSIXt" "POSIXct" > mean(a,b) [1] "2007-04-02 19:22:00 WEST" > mean(b,a) [1] "2007-03-17 16:23:00 WET" ?! Thanks in advance for any advice, -- S?rgio Nunes

Hi Everyone, I am trying to analyze a split plot experiment in the field that was arranged like this: I am trying to measure the fitness consequences of seed size. Factors (X): *Seed size*: a continuous variable, normally distributed. *Water*: Categorical Levels- wet and dry. *Density*: Categorical Levels- high, medium and solo *Plot*: Counts from 1 to 20 The *response variable *(Y) was the number of seeds produced at the end of the season. The experiment started 15 days after plants germinated in the field. 20 plots were chosen where there was high enough den...

...mba.org/index.php/Manually_Replicating_Directory_Partitions > `samba-tool drs showrepl` Show number of failures etc. etc . [1] [1] Default-First-Site-Name\DC2 via RPC DSA object GUID: 34ccaf68-5a41-478f-b8ca-xxxxxxxxxx Last attempt @ Wed Mar 13 23:56:34 2019 WET was successful 0 consecutive failure(s). Last success @ Wed Mar 13 23:56:34 2019 WET > > Greetz, > > Louis > > > > -----Oorspronkelijk bericht----- > > Van: samba [mailto:samba-bounces at lists.samba.org] Namens > > Stefa...

...ing in S language. My problem is as follows: I have meteorological data (about rainfall measurement each day from 1989-2002), say like http://www.angelfire.com/ab5/get5/data.rainfall.txt or http://www.angelfire.com/ab5/get5/R.rainfall.txt in a sequence of 0(denoting dry day)'s and 1(denoting wet day)'s. I want to construct a frequency distribution table of various lengths (1,2,3,4,5,6,7,8,9,or more) of observed wet spells (number of successive 1's) and dry spells (number of successive 0's) occurring in data. How should i proceed? Is there any existing program/function/package...

...nality in those releases but I am seeing a small but steady stream of posts on the Development list asking questions about initial installation and configuration and about features that are available in earlier releases. I''m going to ask two things: a) If you are just getting your feet wet with Shorewall, *please* don''t run the development releases. Inexperienced users running unstable software makes for real headaches when it comes to trying to diagnose problems. b) If you are running a development release and have a problem with something that is *not* unique to the de...

...gt; > `samba-tool drs showrepl` Show number of failures etc. etc . [1] > > > > > > [1] > > Default-First-Site-Name\DC2 via RPC > > DSA object GUID: 34ccaf68-5a41-478f-b8ca-xxxxxxxxxx > > Last attempt @ Wed Mar 13 23:56:34 2019 WET was > > successful > > 0 consecutive failure(s). > > Last success @ Wed Mar 13 23:56:34 2019 WET > > > > > > > > Sergio, unless you are 'Stefan' by another name (and I do not think > you > are), please stop...

...elegant or "better" way to accomplish this task? Thanks! mydata = data.frame(testvar1=c(1,3,5,7,8,3,5,NA,4,5,7,9), testvar2=c(11,33,55,77,88,33,55,NA,44,55,77,99) ) mybys=data.frame(mbn1=c('red','blue',1,2,NA,'big',1,2,'red',1,NA,12),mbn2=c('wet','dry',99,95,NA,'damp',95,99,'red',99,NA,NA) , stringsAsFactors =F) myaggs <- data.frame(matrix(data=NA, nrow=nrow(mydata), ncol=ncol(mydata) ) ) for(i in 1: ncol(mydata) ) { temp <- aggregate(mydata[i], by = as.list(mybys[i]), FUN=sum, na.rm=T) rownums &lt...

...ooking for the decomposition of herbivore dung under different treatments: I made a box design experiment which is structured in the following way: I collected dung from 2 species (Wildebeest and Giraffe) and put for each species 8 pellets in different pots. I used 2 water treatments for the pots: wet (by adding water) and dry and two shadow treatments: shadow and sun. So the design for 1 box was looking as follow: 1 Box (Sun or Shadow): 1 giraffe dung - wet 1 giraffe dung - dry 1 wildebeest dung - wet 1 wildebeest dung - dry --> total 10 Boxen (5 shadow, 5 sun) Now, for each treatment I to...

...g Git/EGit for version control. We work within our own repository and occasionally push to a common remote location. I'd like to have the code source files from the 'local' git repository without modification, where 'local' could mean c:\yada\ for one person, m:\my documents\wetlands\ for another, and l:\foo\bar\sharedRemote\wet\ to another user. The chdir argument to source() has been suggested for similar questions, but I have not been able to figure out how this helps without hardcoding the location in some manner. One option is for each repository to have an untra...

Hi, I need to setup a new mail server and before I got my feet wet or losing in the configurations jungle, I really need some advice from the gurus here for what the best software to used for the mailserver base on CentOS 4.x setup. The objective is, the mailserver will be easy to setup, maintained and have some 1. database backend for storing user info ( mysql...

...nds in a script window: stars(shampoo1[, 1:6], locations = c(0,0), radius = TRUE, key.loc=c(0,0), main = "Ranked Results for the Sensory Evaluation of the Shampoo" , frame.plot = TRUE, key.labels = c("Foam Texture", "Skin Feel", "Rinsability", "Wet Combability", "Wet Feel", "Odour"), lty = 2, ) This gives me a black and white radar which is fine. Now according to the reference manual to colour the stars i need to add: col.stars = rainbow (30) Which colours in each star segment. The problem I have with this is th...

as i said, right now i'm just getting my feet wet. but, i will be needing to build dialplans on the fly. 'add extension' seems like the right call to make. .t > What is the goal of this? It doesn't make much sense to me. Care to > share some insite into what your goal is? > > bkw > > On Sun, 23 Nov 2003, tad wrote...